Clustering Ensemble based on the K-NN Algorithm. - Fangfei Weng; Qingshan Jiang; Lifei Chen; Zhiling Hong (SNPD (3), 2007)

A New Centroid-Based Classifier for Text Categorization. - Lifei Chen; Yanfang Ye 001; Qingshan Jiang (AINA Workshops, 2008)

Cluster validation for subspace clustering on high dimensional data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (APCCAS, 2008)

A Probability Model for Projective Clustering on High Dimensional Data. - Lifei Chen; Qingshan Jiang; Shengrui Wang (ICDM, 2008)

An extended EM algorithm for subspace clustering. - Lifei Chen; Qingshan Jiang (Frontiers Comput. Sci. China, 2008)

Semi-supervised Classification Based on Clustering Ensembles. - Si Chen; Gongde Guo; Lifei Chen (AICI, 2009)

A Robust Algorithm for Fuzzy Document Clustering. - Lifei Chen; Shengrui Wang; Qingshan Jiang (AINA Workshops, 2009)

An Initialization Method for Clustering High-Dimensional Data. - Luying Chen; Lifei Chen; Qingshan Jiang; Beizhan Wang; Liang Shi (DBTA, 2009)

Validation indices for projective clustering. - Lifei Chen; Shanjun He; Qingshan Jiang (Frontiers Comput. Sci. China, 2009)

SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging. - Yanfang Ye 001; Lifei Chen; Dingding Wang 001; Tao Li 001; Qingshan Jiang; Min Zhao (J. Comput. Virol., 2009)

A New Over-Sampling Method Based on Cluster Ensembles. - Si Chen; Gongde Guo; Lifei Chen (AINA Workshops, 2010)

Using class-dependent projection for text categorization. - Lifei Chen; Gongde Guo (ICMLC, 2010)

Geometric double-entity model for recognizing far-near relations of clusters. - Kaijun Wang; Xuanhui Yan; Lifei Chen (Sci. China Inf. Sci., 2011)

Class-dependent projection based method for text categorization. - Lifei Chen; Gongde Guo; Kaijun Wang (Pattern Recognit. Lett., 2011)

Semi-naive Bayesian Classification by Weighted Kernel Density Estimation. - Lifei Chen; Shengrui Wang (ADMA, 2012)

Nearest Neighbor Classification by Partially Fuzzy Clustering. - Lifei Chen; Gongde Guo; Shengrui Wang (AINA Workshops, 2012)

Automated feature weighting in naive bayes for high-dimensional data classification. - Lifei Chen; Shengrui Wang (CIKM, 2012)

Centroid-based clustering for graph datasets. - Lifei Chen; Shengrui Wang; Xuanhui Yan (ICPR, 2012)

Soft subspace clustering with an improved feature weight self-adjustment mechanism. - Gongde Guo; Si Chen; Lifei Chen (Int. J. Mach. Learn. Cybern., 2012)

Model-Based Method for Projective Clustering. - Lifei Chen; Qingshan Jiang; Shengrui Wang (IEEE Trans. Knowl. Data Eng., 2012)

Central Clustering of Categorical Data with Automated Feature Weighting. - Lifei Chen; Shengrui Wang (IJCAI, 2013)

Projected-prototype based classifier for text categorization. - Jianfei Zhang 002; Lifei Chen; Gongde Guo (Knowl. Based Syst., 2013)

Optimal subspace classification method for complex data. - Nan Li; Gongde Guo; Lifei Chen; Si Chen (Int. J. Mach. Learn. Cybern., 2013)

Kernel learning method for distance-based classification of categorical data. - Lifei Chen; Gongde Guo; Shengrui Wang; Xiangzeng Kong (UKCI, 2014)

Centroid-Based Classification of Categorical Data. - Lifei Chen; Gongde Guo (WAIM, 2014)

EM-type method for measuring graph dissimilarity. - Lifei Chen (Int. J. Mach. Learn. Cybern., 2014)

Subspace Clustering on Mobile Data for Discovering Circle of Friends. - Tao Wu; Yujie Fan; Zhiling Hong; Lifei Chen (KSEM, 2015)

Cluster-oriented ensemble classifiers for intelligent malware detection. - Shifu Hou; Lifei Chen; Egemen Tas; Igor Demihovskiy; Yanfang Ye 001 (ICSC, 2015)

A probabilistic framework for optimizing projected clusters with categorical attributes. - Lifei Chen (Sci. China Inf. Sci., 2015)

Nearest neighbor classification of categorical data by attributes weighting. - Lifei Chen; Gongde Guo (Expert Syst. Appl., 2015)

规范化相似度的符号序列层次聚类 (Hierarchical Clustering of Categorical Sequences by Similarity Normalization). - Hao Zhang; Lifei Chen; Gongde Guo (计算机科学, 2015)

Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data. - Jianfei Zhang 002; Lifei Chen; Alain Vanasse; Josiane Courteau; Shengrui Wang (AAAI, 2016)

An Effective Model for Anonymizing Personal Location Trajectory. - A. S. M. Touhidul Hasan; Qingshan Jiang; Chengming Li; Lifei Chen (ICCNS, 2016)

Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data. - Jianfei Zhang 002; Shengrui Wang; Josiane Courteau; Lifei Chen; Aurélien Bach; Alain Vanasse (ICDM, 2016)

Clustering Categorical Sequences with Variable-Length Tuples Representation. - Liang Yuan; Zhiling Hong; Lifei Chen; Qiang Cai (KSEM, 2016)

DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks. - Shifu Hou; Aaron Saas; Yanfang Ye 001; Lifei Chen (WAIM Workshops, 2016)

Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs. - Shifu Hou; Aaron Saas; Lifei Chen; Yanfang Ye 001 (WI Workshops, 2016)

Gene regulatory network inference using PLS-based methods. - Shun Guo; Qingshan Jiang; Lifei Chen; Donghui Guo (BMC Bioinform., 2016)

Malicious sequential pattern mining for automatic malware detection. - Yujie Fan; Yanfang Ye 001; Lifei Chen (Expert Syst. Appl., 2016)

Robust adaptive finite-time synchronization of nonlinear resource management system. - Yong Wu; Yonghui Sun; Lifei Chen (Neurocomputing, 2016)

Soft subspace clustering of categorical data with probabilistic distance. - Lifei Chen; Shengrui Wang; Kaijun Wang; Jianping Zhu (Pattern Recognit., 2016)

An effective value swapping method for privacy preserving data publishing. - A. S. M. Touhidul Hasan; Qingshan Jiang; Jun Luo; Chengming Li; Lifei Chen (Secur. Commun. Networks, 2016)

Kernel-based linear classification on categorical data. - Lifei Chen; Yanfang Ye 001; Gongde Guo; Jianping Zhu (Soft Comput., 2016)

Sequential Representation of Clinical Data for Full-Fitting Survival Prediction. - Jianfei Zhang 002; Lifei Chen; Aurélien Bach; Josiane Courteau; Alain Vanasse; Shengrui Wang (AINA Workshops, 2017)

Smooth Representation Clustering Based on Kernelized Random Walks. - Liping Chen; Gongde Guo; Lifei Chen (APWeb/WAIM Workshops, 2017)

An Adversarial Machine Learning Model Against Android Malware Evasion Attacks. - Lingwei Chen; Shifu Hou; Yanfang Ye 001; Lifei Chen (APWeb/WAIM Workshops, 2017)

Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. - Shifu Hou; Lingwei Chen; Yanfang Ye 001; Lifei Chen (APWeb/WAIM Workshops, 2017)

A L1-regularized feature selection method for local dimension reduction on microarray data. - Shun Guo; Donghui Guo; Lifei Chen; Qingshan Jiang (Comput. Biol. Chem., 2017)

Multiple Bayesian discriminant functions for high-dimensional massive data classification. - Jianfei Zhang 002; Shengrui Wang; Lifei Chen; Patrick Gallinari (Data Min. Knowl. Discov., 2017)

Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. - Gongde Guo; Lifei Chen; Yanfang Ye 001; Qingshan Jiang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Two-stage ELM for phishing Web pages detection using hybrid features. - Wei Zhang; Qingshan Jiang; Lifei Chen; Chengming Li (World Wide Web, 2017)

Large Scale UAVs Collaborative Formation Simulation Based on Starlings' Flight Mechanism. - Rong Xie; Cunfeng Gu; Li Liu 001; Lifei Chen; Linyu Zhang (APWeb/WAIM Workshops, 2018)

A Self-representation Model for Robust Clustering of Categorical Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang; Beizhan Wang (APWeb/WAIM Workshops, 2018)

Sequence-As-Feature Representation for Subspace Classification of Multivariate Time Series. - Liang Yuan; Lifei Chen; Rong Xie; Huihuang Hsu (APWeb/WAIM Workshops, 2018)

KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing. - Xing Wang 005; Xinhua Jiang; Lifei Chen; Yi Wu (IEEE Access, 2018)

SOMDNCD: Image Change Detection Based on Self-Organizing Maps and Deep Neural Networks. - Ruliang Xiao; Runxi Cui; Mingwei Lin; Lifei Chen; Youcong Ni; Xinhong Lin (IEEE Access, 2018)

OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain. - Huakun Liu; Xin Wei; Ruliang Xiao; Lifei Chen; Xin Du 003; Shi Zhang (EURASIP J. Wirel. Commun. Netw., 2018)

Center-based clustering of categorical data using kernel smoothing methods. - Xuanhui Yan; Lifei Chen; Gongde Guo (Frontiers Comput. Sci., 2018)

An Effective Privacy Architecture to Preserve User Trajectories in Reward-Based LBS Applications. - A. S. M. Touhidul Hasan; Qiang Qu; Chengming Li; Lifei Chen; Qingshan Jiang (ISPRS Int. J. Geo Inf., 2018)

Speech emotion recognition of Chinese elderly people. - Kunxia Wang; ZongBao Zhu; Jian Zhang; Lifei Chen (Web Intell., 2018)

Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. - Jianfei Zhang 002; Shengrui Wang; Lifei Chen; Gongde Guo; Rongbo Chen; Alain Vanasse (PAKDD (1), 2019)

Feature-weighted survival learning machine for COPD failure prediction. - Jianfei Zhang 002; Shengrui Wang; Josiane Courteau; Lifei Chen; Gongde Guo; Alain Vanasse (Artif. Intell. Medicine, 2019)

Two-stage pruning method for gram-based categorical sequence clustering. - Liang Yuan; Wenjian Wang; Lifei Chen (Int. J. Mach. Learn. Cybern., 2019)

A Real-time Temperature Anomaly Detection Method for IoT Data. - Wei Liu; Hongyi Jiang; Dandan Che; Lifei Chen; Qingshan Jiang (IoTBDS, 2020)

PFBNet: a priori-fused boosting method for gene regulatory network inference. - Dandan Che; Shun Guo; Qingshan Jiang; Lifei Chen (BMC Bioinform., 2020)

EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss. - Tian-Jian Luo 001; Yachao Fan; Lifei Chen; Gongde Guo; Changle Zhou (Frontiers Neuroinformatics, 2020)

Linguistic q-rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators. - Mingwei Lin; Xinmei Li; Lifei Chen (Int. J. Intell. Syst., 2020)

Survival neural networks for time-to-event prediction in longitudinal study. - Jianfei Zhang 002; Lifei Chen; Yanfang Ye 001; Gongde Guo; Rongbo Chen; Alain Vanasse; Shengrui Wang (Knowl. Inf. Syst., 2020)

Robust Person Re-identification with Multi-Modal Joint Defence. - Yunpeng Gong; Lifei Chen (CoRR, 2021)

Dynamic order Markov model for categorical sequence clustering. - Rongbo Chen; Haojun Sun; Lifei Chen; Jianfei Zhang 002; Shengrui Wang (J. Big Data, 2021)

Valuation and investment strategies of carbon capture and storage technology under uncertainties in technology, policy and market. - Chao Huang; Lifei Chen; Pandu R. Tadikamalla; Mikhail Gordon (J. Oper. Res. Soc., 2021)

Risk Factors of Tumor Patients with Peripherally Inserted Central Catheter Related Thrombosis and Nursing Intervention Analysis Mediated by Algorithm-Based Ultrasound Images. - Lifei Chen; Yingying Hu (Sci. Program., 2021)

Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion. - Tao Wu; Yunning Zhong; Yujie Fan; Xiangzeng Kong; Lifei Chen (BIBM, 2022)

Person Re-identification Method Based on Color Attack and Joint Defence. - Yunpeng Gong; Liqing Huang; Lifei Chen (CVPR Workshops, 2022)

Data-driven Kernel Subspace Clustering with Local Manifold Preservation. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (ICDM (Workshops), 2022)

Information fusion oriented heterogeneous social network for friend recommendation via community detection. - Mingqing Huang; Qingshan Jiang; Qiang Qu; Lifei Chen; Hui Chen (Appl. Soft Comput., 2022)

Nonnegative matrix factorization with combined kernels for small data representation. - Liying Hu; Xian Chen; Gongde Guo; Lifei Chen (Expert Syst. Appl., 2022)

A Multi-view Kernel Clustering framework for Categorical sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Expert Syst. Appl., 2022)

Symbolic sequence representation with Markovian state optimization. - Lifei Chen; Haiyan Wu; Wenxuan Kang; Shengrui Wang (Pattern Recognit., 2022)

Kernel-based data transformation model for nonlinear classification of symbolic data. - Xuanhui Yan; Lifei Chen; Gongde Guo (Soft Comput., 2022)

Modeling of Repeated Measures for Time-to-event Prediction. - Jianfei Zhang 002; Lifei Chen; Shengrui Wang (ADMA (1), 2023)

Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making. - Jianfei Zhang 002; Lifei Chen; Shengrui Wang (DEXA (2), 2023)

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2023)

SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection. - Tao Wu; Yujie Fan; Yunning Zhong; Xiu Cheng; Xiangzeng Kong; Lifei Chen (Biomed. Signal Process. Control., 2023)

DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Canadian AI, 2024)

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking. - Yunpeng Gong; Chuangliang Zhang; Yongjie Hou; Lifei Chen; Min Jiang 005 (IJCNN, 2024)

Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (PAKDD (6), 2024)

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (SDM, 2024)

Exploring Color Invariance through Image-Level Ensemble Learning. - Yunpeng Gong; Jiaquan Li; Lifei Chen; Min Jiang 005 (CoRR, 2024)

BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development. - Sheng Gong; Yumin Zhang; Zhenliang Mu; Zhichen Pu; Hongyi Wang; Zhiao Yu; Mengyi Chen; Tianze Zheng; Zhi Wang; Lifei Chen; Xiaojie Wu; Shaochen Shi; et al. (CoRR, 2024)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Switching Control for a Soft Rehabilitation Glove With Pneumatic Bellows Actuators. - Haiyan Cheng; Lifei Chen; Bin Fang; Jinhua Zhang; Jun Hong 002 (IEEE Robotics Autom. Lett., 2024)

Narrowing the regional attention imbalance in medical image segmentation via feature decorrelation. - Mucong Zhuang; Yulin Li; Liying Hu; Zhiling Hong; Lifei Chen (Biomed. Signal Process. Control., 2025)

A predictive machine learning force-field framework for liquid electrolyte development. - Sheng Gong; Yumin Zhang; Zhenliang Mu; Zhichen Pu; Hongyi Wang; Xu Han; Zhiao Yu; Mengyi Chen; Tianze Zheng; Zhi Wang 021; Lifei Chen; Zhenze Yang; et al. (Nat. Mac. Intell., 2025)

CORAL: Concept Drift Representation Learning for Co-evolving Time-series. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)